Fixes and sort of mini fade
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df6f7ce8db
commit
d58e4fed01
1 changed files with 10 additions and 6 deletions
14
head_pose.py
14
head_pose.py
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@ -125,7 +125,7 @@ if metrics is None:
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metrics = np.zeros((metricsSize[1], metricsSize[0])) # (y, x)
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logger.warn("New metrics")
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screenDrawCorners = np.array([[0,0], [1919,0], [0, 1079], [1919,1079]])
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screenDrawCorners = np.array([[0,0], [metricsSize[0]-1,0], [0, metricsSize[1]-1], [metricsSize[0]-1,metricsSize[1]-1]])
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def create_perspective_transform_matrix(src, dst):
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""" Creates a perspective transformation matrix which transforms points
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@ -363,6 +363,7 @@ def captureFacesPoints(i):
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(nose_end_point2D, jacobian) = cv2.projectPoints(np.array([(0.0, 0.0, 1000.0)]), rotation_vector, translation_vector, camera_matrix, dist_coeffs)
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for p in image_points:
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# face points
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cv2.circle(im, (int(p[0]), int(p[1])), 3, (0,0,255), -1)
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p1 = ( int(image_points[0][0]), int(image_points[0][1]))
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@ -382,7 +383,7 @@ def captureFacesPoints(i):
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# rx = np.arctan2(rotMatrix[1,2]/np.cos(ry), rotMatrix[2,2]/np.cos(ry))
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# rz = np.arctan2(rotMatrix[0,1]/np.cos(ry), rotMatrix[0,0]/np.cos(ry))
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# logger.info("rotation ml {} {} {}".format(rx, ry, rz) )# seems better?
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viewDirectionVector = np.dot(np.array([0.0, 0.0, 1.0]), rotMatrix)
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viewDirectionVector = np.dot(np.array([0.0, 0.0, 100.0]), rotMatrix)
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if not args.hide_preview:
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# draw little floorplan for x: 10 -> 50 maps to z: 0 -> 10000, x: -2000 -> 2000
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@ -439,7 +440,7 @@ def captureFacesPoints(i):
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try:
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pointsQueue.put_nowait(results)
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except Queue.Full as e:
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logger.critical("Reslt queue full?")
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logger.warn("Result queue full?")
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# not applicable to multiprocessing.queue in p2.7: photoQueue.task_done()
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def captureVideo():
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@ -447,6 +448,8 @@ def captureVideo():
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# set camera resoltion
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c.set(3, 1280)
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c.set(4, 720)
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c.set(3, 960)
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c.set(4, 540)
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logger.debug("Camera FPS: {}".format(c.get(5)))
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while True:
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@ -520,7 +523,7 @@ while True:
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# cv2.circle(im, (int(targetPoint[0]), int(targetPoint[1])), 2, (0,255,0), -1)
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# from 1920x1080 to 80x50
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if not args.hide_preview:
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miniTargetPoint = (int(targetPoint[0] / 1920 * 80 + 10), int(targetPoint[1] / 1080 * 50 + 60))
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miniTargetPoint = (int(targetPoint[0] / metricsSize[0] * 80 + 10), int(targetPoint[1] / metricsSize[1] * 50 + 60))
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cv2.circle(im, miniTargetPoint, 2, (0,255,0), -1)
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targetInt = (int(targetPoint[0]), int(targetPoint[1]))
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# check if point fits on screen:
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@ -572,6 +575,7 @@ while True:
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metrics = metrics + newMetrics*diffT
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newMetrics *= (1-diffT)
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print('MAXES', np.max(metrics), np.max(newMetrics))
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# smooth impact of first hits by having at least 0.05
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normalisedMetrics = metrics / (max(255*7 ,np.max(metrics)))
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@ -603,7 +607,7 @@ while True:
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# imageWindowRoot.update()
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tm24 = time.time()
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logger.debug("PIL image generated in %fs", tm24 - tm23)
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logger.debug("Total matrix time is %fs", tm4 - tm3 + tm2 - tm1 + tm24 - tm21)
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# logger.debug("Total matrix time is %fs", tm4 - tm3 + tm2 - tm1 + tm24 - tm21)
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if not args.hide_graph:
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te4 = time.time()
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